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Research engineer
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Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.Visit us at Please follow us on and Twitter. You will be a member of Netskope Threat Labs, a globally distributed team of security researchers and subject matter experts working together to solve today’s security challenges in new and innovative ways. The primary output of the Threat Labs Team is thought leadership (intelligence, patents, blog posts, reports, conference presentations, webinars, and podcasts) and product improvements (new features, protections against new threats). The Threat Labs Team collaborates closely with the executive, cybersecurity, corporate communications, and marketing teams on thought leadership initiatives, as well as with the product, engineering, and data science teams on product improvements. We are seeking a seasoned Senior Threat Researcher with deep technical expertise in web, network, and cloud threats to join our globally recognized research team. You will be at the core of our threat hunting and intelligence operations, analyzing a massive and diverse data lake of global telemetry from network, web, and cloud environments to uncover emerging threats, including sophisticated phishing campaigns, compromised devices, and attacks targeting or abusing cloud infrastructure. You will work closely with internal product and engineering teams to ensure that your insights translate into practical defensive measures for our customers, enhancing existing product features and driving innovation. We are seeking a strong communicator who can effectively translate complex, multi-stage attacks into compelling narratives for both the security community and the general public. You will be a key voice in our thought leadership efforts, sharing your research through technical blog posts, in-depth reports, conference presentations, and collaborations with industry partners. You’ll work closely with product management, marketing, and PR to ensure our innovations and insights reach the global stage, helping to make the Internet a safer place. Web, Network, and Cloud Threat Analysis : Conduct in-depth investigations into multi-stage threats spanning web, network, and cloud environments. Analyze network traffic, API traffic, and cloud service logs to identify malicious patterns, adversary infrastructure, and attacks. Threat Hunting : Use our data platform and advanced analysis tools (e.g., Jupyter, Looker, Spark, SQL) to query and interrogate vast datasets of telemetry, identifying trends and emerging attack techniques that evade traditional defenses. Threat Landscape Monitoring : Stay up-to-date with current and emerging threats, providing timely updates and recommendations for public communication. Public-Facing Research : Author and publish high-impact technical blog posts, white papers, and research reports detailing your findings. Present your research at security conferences and webinars. Interface with PR, marketing, and executive teams to provide expert insights and analysis that will shape public communications, press releases, and reports related to cybersecurity trends. Data Analysis : Proficiency in data analysis, scripting, and statistical modeling using tools and languages such as SQL, Python (with libraries like Pandas), and Jupyter Notebooks. publications, conference talks, active participation in sharing groups). Experience collaborating with data science teams to improve the efficacy of AI-driven security models, providing expert-labeled data, validating model outputs, and providing the contextual understanding needed to detect novel threats in massive datasets. Machine Learning : Familiarity with machine learning concepts as they apply to threat detection and experience working with or validating AI-driven security alerts. Malware Analysis : Experience performing static and dynamic analysis on malware samples to determine their functionality, extract indicators of compromise (IOCs), and inform detection strategies. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity / expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Threat Research Engineer • Madrid, Madrid, Spain #
